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020 _a9783319746814
_9978-3-319-74681-4
024 7 _a10.1007/978-3-319-74681-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aInteractions Between Computational Intelligence and Mathematics
_h[electronic resource] /
_cedited by László T. Kóczy, Jesús Medina.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aIX, 119 p. 38 illus., 19 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v758
505 0 _aPage Rank vs. Katz: Is the centrality algorithm choice relevant to measure user influence in Twitter? -- Weighted means based filters for SAR Imagery -- On Combination of Wavelet Transformation and Stabilized KH Interpolation for Fuzzy Inferences Based on High Dimensional Sampled Functions -- Abductive Reasoning on Molecular Interaction Maps -- Efficient unfolding of fuzzy connectives for multi-adjoint logic programs -- On Generalizations of Concept Lattices -- Generating fuzzy attribute rules via Fuzzy Formal Concept Analysis.
520 _aThis book presents recent research in the field of interaction between computational intelligence and mathematics, ranging from theory to applications. Computational intelligence, or soft computing consists of various bio-inspired methods, especially fuzzy systems, artificial neural networks, evolutionary and memetic algorithms. These research areas were initiated by professionals in various applied fields, such as engineers, economists, and financial and medical experts. Although computational intelligence offered solutions (at least quasi-optimal solutions) for problems with high complexity, vague and undeterministic features, initially little attention was paid to the mathematical models and analysis of the methods successfully applied. A typical example is the extremely successful Mamdani-algorithm, and its modifications and extensions, applied since the mid-1970s, where the first analysis of the simplest cases, showing why this algorithm was so efficient and stable, was not given until the early 1990s. Since the mid-2000s, the authors have organized international conferences annually to focus on the mathematical methodological issues in connection with computational intelligence approaches. These conferences have attracted a large number of submissions with a wide scope of topics and quality. The editors selected several high-quality papers and approached the authors to submit an essentially extended and improved book chapter based on the lectures. This volume is the first contributed book on the subject.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aKóczy, László T.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956003
700 1 _aMedina, Jesús.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_956004
710 2 _aSpringerLink (Online service)
_956005
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319746807
776 0 8 _iPrinted edition:
_z9783319746821
776 0 8 _iPrinted edition:
_z9783030090548
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v758
_956006
856 4 0 _uhttps://doi.org/10.1007/978-3-319-74681-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79667
_d79667